class_docstr: Convert a PIL image to Raw Tensor if we don't want to apply the default
  division by 255 by torchvision.transforms.ToTensor()
docstr: Instantiates ImgPilToRawTensor from configuration.
  
  Args:
      config (Dict): arguments for for the transform
  
  Returns:
      ImgPilToRawTensor instance.
docstr_tok: ["Instantiates","ImgPilToRawTensor","from","configuration",".","Args",":","config","(","Dict",")",":","arguments","for","for","the","transform","Returns",":","ImgPilToRawTensor","instance","."]
code: def from_config(cls, config: Dict[str, Any]) -> "ImgPilToRawTensor":
      """
      Instantiates ImgPilToRawTensor from configuration.
  
      Args:
          config (Dict): arguments for for the transform
  
      Returns:
          ImgPilToRawTensor instance.
      """
      return cls()
  
file_path: vissl/vissl/data/ssl_transforms/img_pil_to_raw_tensor.py
imports: import logging
  from typing import Any, Dict
  import numpy
  import torch
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
label_desc: Use image node_id 3 for calling the ImgPilToRawTensor obj's underlying member method code with example usage: obj.from_config(cls, config) and returns: cls